Weather Research and Forecasting on Remote Computing Resources
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Team 15 attempted to evaluate performance of the Weather Research & Forecasting (WRF) software on a remote supercomputing cluster larger than their own, in order to take advantage of additional resources. However, they faced significant challenges due to time differences causing delayed responses, an initial job rejection, and an immediate shutdown once accepted. In the end, they were only able to use 192 of the 256 available cores and concluded that remote HPC experiments require 24/7 staff support and awareness of holidays in different countries.
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This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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Weather Research and Forecasting on Remote Computing Resources
- 1. Team 15: Weather Research and Forecasting on Remote Computing Resources Image courtesy of Getty Images
- 2. Team Members • Resource Provider: Supercomputing Center of Castile and Leon (FCSCL) • Category: Aerodynamics • Software Provider: WRF
- 3. HPC Experiment Team 15 • Team attempted to evaluate performance of WRF (Weather Research & Forecasting) • Open software on remote computer cluster • Larger than end-user’s existing computing cluster
- 4. Significant Challenges • Time difference for team members delayed responses • Job was not accepted initially • Once accepted, was shut down immediately • Unable to use all 256 cores, only used 192
- 5. Major Benefits • End-user was able to use additional resources • Tried out different software runtime configurations
- 6. Main Conclusions and Recommendations • Staff should respond to user queries 24x7 • HPC experiments should list public holidays in various participating countries • More information available via: https://www.theubercloud.com/experiments /team-15-weather-research-and-forecasting- on-remote-computing-resources/